Salih Hoşoğlu

85 papers receiving 2.3k citations

Peers

Salih Hoşoğlu
Comparison fields: 5 of 118
  • Applied Microbiology and Biotechnology 205
  • Molecular Medicine 418
  • Microbiology 374
  • Endocrinology 281
  • Infectious Diseases 716
Replace James D. Kellner with:
James D. Kellner Canada
Sofia Maraki Greece
Aristine Cheng Taiwan
Jihad Bishara Israel
Urs B. Schaad Switzerland
Jang Wook Sohn South Korea
Yao-Shen Chen Taiwan
Barış Otlu Türkiye
John D. Rihs United States
Jagdish Chander India
Salih Hoşoğlu relative to James D. Kellner Canada James D. Kellner's profile →
Citations per field
00.5×4.0×
James D. Kellner · 1×
Citations per year

Countries citing papers authored by Salih Hoşoğlu

Since Specialization
Citations

This map shows the geographic impact of Salih Hoşoğlu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Salih Hoşoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salih Hoşoğlu more than expected).

Fields of papers citing papers by Salih Hoşoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salih Hoşoğlu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Salih Hoşoğlu. The network helps show where Salih Hoşoğlu may publish in the future.

Co-authors

The 25 scholars most cited alongside Salih Hoşoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Salih Hoşoğlu Line = papers co-authored together Salih Hoşoğlu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000167
2
Predictors of outcome in patients with tuberculous meningitis.
2002160
3 2003156
4
The optimization of a rapid pulsed-field gel electrophoresis protocol for the typing of Acinetobacter baumannii, Escherichia coli and Klebsiella spp.
2009129
5 2009107
6 2000104
7 200896
8
Tuberculous meningitis in adults: an eleven-year review.
199884
9 200470
10 200367
11 200566
12 200061
13 200654
14 200353
15 200346
16 201342
17 200739
18 201635
19 200534
20 201332

About Salih Hoşoğlu

Salih Hoşoğlu is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Antibiotic Use and Resistance (13 papers), Bacterial Infections and Vaccines (10 papers), Nosocomial Infections in ICU (9 papers), Pneumonia and Respiratory Infections (9 papers), Infectious Diseases and Tuberculosis (9 papers), Salmonella and Campylobacter epidemiology (8 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (205 citations), Molecular Medicine (418 citations), Microbiology (374 citations), Endocrinology (281 citations) and Infectious Diseases (716 citations). Salih Hoşoğlu has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Celal Ayaz, Mehmet Faruk Geyik, Üstün Osma, Sebahattin Cüreoǧlu, John Wain, Ömer Faruk Kökoğlu, Fuat Gürkan, Mehmet Faruk Geyik, Hasan Uçmak and Şerife Akalın. Their work appears in journals such as American Journal of Infection Control, International Journal of Infectious Diseases, Acta Radiologica, Journal of Chemotherapy and The Journal of Infection in Developing Countries.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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